AIM:To investigate the protective effects of Dendrobium officinale polysaccharide(DOP)on high glucose-induced apoptosis in retinal capillary pericytes and its potential mechanism involving mitochondrial function.METHODS:Retinal capillary pericytes were allocated into five groups: normal control(NC), high glucose(HG), and three DOP treatment groups(low, DOP-L; medium, DOP-M; high, DOP-H). Pericyte ultrastructure was analyzed using transmission electron microscopy(TEM). Apoptotic rate was quantified via Annexin V-FITC staining. Mitochondrial transmembrane potential was assessed using the JC-1 probe. Quantitative real-time polymerase chain reaction(qRT-PCR)and Western blot were employed to measure expression levels of cytochrome C(Cyt C), B-cell lymphoma 2(Bcl-2), Bcl-2-associated X protein(Bax), Caspase-9, and Caspase-3, respectively.RESULTS:Compared to the NC group, pericytes exposed to HG exhibited significant mitochondrial damage, elevated apoptotic rate, increased mRNA and protein expression of Cyt C, Bax, Caspase-9, and Caspase-3(all P<0.01), alongside a marked reduction in mitochondrial transmembrane potential and expression of Bcl-2 mRNA and protein(all P<0.01). In contrast, DOP treatment groups(DOP-M,DOP-H)dose-dependently ameliorated mitochondrial damage, reduced apoptotic rate, downregulated Cyt C, Bax, Caspase-9, and Caspase-3 expression, enhanced mitochondrial transmembrane potential, and upregulated Bcl-2 expression relative to the HG group(all P<0.05).CONCLUSION:DOP attenuates high glucose-induced apoptosis and mitochondrial injury in retinal capillary pericytes. The underlying mechanism may involve the restoration of mitochondrial transmembrane potential.

Background In 2021, chronic obstructive pulmonary disease (COPD) emerged as the forth leading cause of death in the world. However, the impact of air pollutants on COPD is still inconsistent across current studies. Objective To analyze the relationship between ambient sulfur dioxide (SO₂) exposure and hospital admissions for COPD in Lanzhou, and to examine the modified effects of SO₂ across different genders, age groups, and seasons. Methods A total of 20718 hospital admission records for COPD were collected from Lanzhou between 2016 and 2020, alongside synchronized data on SO₂ concentration and meteorological variables. A generalized additive model integrated with a distributed lag nonlinear model was used to assess the relationship and the lag effects between SO₂ exposure and COPD admissions. Potential confounders, including meteorological factors, day-of-the-week effect, and holidays, were controlled for, with a maximum lag period set at 7 d. Two-pollutant models and sensitivity analyses were conducted to ensure robustness. Results are expressed as relative risks (RR) with 95% confidence intervals (95%CI). Results During the study period, the average daily number of COPD admissions was 11.34±7.03. The average mass concentration of SO₂ was (23.72±12.35) μg·m⁻³. SO₂ exposure was positively correlated with COPD admissions; specifically, each 10 μg·m⁻³ increase in SO₂ concentration was associated with an RR of 1.440 (95%CI: 1.317, 1.573). Stratified analyses found that at a cumulative lag of 7 d, the RRs were higher among females, individuals aged ≥65 years, and during the cold season. Conversely, no significant increase in COPD admission risk related to SO₂ was observed during the warm season. For every 10 μg·m⁻³ increase in SO₂ concentration, the RR was 1.483 (95%CI: 1.311, 1.678) for females, 1.441 (95%CI: 1.311, 1.583) for those aged > 65 years， and 1.595 (95%CI: 1.313, 1.937) during the cold season. Conclusion Short-term exposure to ambient SO₂ exposure in Lanzhou is associated with an increased risk of COPD admission. The association is more pronounced among females, the elderly (aged> 65 years) and during the cold season.

Processed electroencephalogram (EEG) indices, such as the Bispectral Index, have markedly influenced anesthesia practice as they translate brain activity into simple numerical indices. Nevertheless, as the manufacturing algorithms are not disclosed, the underlying neurophysiology remains obscured. Additionally, these indices are often affected by electromyographic contamination, pharmacological variability, and patient-specific EEG heterogeneity. In contrast, an EEG spectrogram, or density spectral array, preserves the frequency- and time-resolved structures of cortical oscillations. This information is presented in a form that is both physiologically meaningful and clinically interpretable. In this review, we trace the evolution of anesthesia from an index-based to a spectrogram-guided approach, and summarize the clinical rationale for adopting the latter. Key applications of this approach include the use of frontal alpha power as a biomarker of cortical stability and postoperative brain health, the identification of nociceptive arousal through alpha dropout and beta or delta arousal patterns, and individualized titration of multimodal or age-specific anesthetic management. Although current devices lack standardized quantitative alpha metrics and have limited sensitivity for low-frequency brain wave components, structured EEG education programs have proven to be effective in terms of fostering spectrogram literacy among anesthesiologists. By combining neurophysiological precision with bedside practicality, the EEG spectrogram represents a pivotal advance toward individualized, mechanism-based, and brain-protective anesthesia, transforming anesthetic monitoring from mere algorithmic abstraction to cortical insight.

Background: Surgeons face challenges in selecting cost-effective and biologically active agents for rotator cuff healing, given the numerous commercial products available, such as polydeoxyribonucleotide (PDRN) and atelocollagen (ATC). However, the precise efficacy of PDRN and ATC in rotator cuff healing remains debatable, and there is currently a lack of studies directly comparing the effects of the 2 agents on repaired cuff tendons. Therefore, the purpose of this study was to compare the efficacy of PDRN and ATC on bone-to-tendon interface (BTI) healing using a chronic rotator cuff tear (RCT) model in rabbits. Methods: Forty-eight rabbits were randomly divided into 3 groups. To create chronic RCT models, transected tendons were left untreated for 6 weeks, and then were repaired in a transosseous manner with PDRN and ATC injection into the repair site according to group allocation (group A: saline, group B: PDRN, group C: ATC; n = 16 per group). Genetic and immunofluorescence analyses were performed at 4 weeks after surgery. Furthermore, genetic, histologic, and biomechanical analyses were performed at 12 weeks after surgery. Results: At 4 weeks after surgery, ATC-injected shoulders showed the highest mRNA expression levels of collagen type I alpha 1 and aggrecan compared to the other 2 groups (p < 0.001 and p = 0.002, respectively). Meanwhile, there was more preliminary fibrocartilaginous matrix formation in the ATC-injected group. At 12 weeks after surgery, ATC-injected shoulders demonstrated better collagen fiber continuity and orientation, denser collagen fibers, a more mature bone-to-tendon junction, and greater fibrocartilage layer formation compared to the other 2 groups (all p < 0.001). Furthermore, ATC-injected shoulders also demonstrated a significantly higher load-to-failure value (40.4 ± 4.5 N/kg) than the remaining groups (group A, 26.7 ± 3.0 N/kg; group B, 32.8 ± 4.2 N/kg; p < 0.001). Conclusions ATC demonstrated superior efficacy in promoting BTI healing following surgical repair in a chronic RCT model of rabbits.

Objective Mitochondrial ribosomal proteins(MRPs)that may affect bladder cancer cell proliferation were screened out through bioinformatics analysis. The relevant mechanism of pathogenesis of bladder cancer was explored and verified with clinical samples, cell experiments and functional experiments. Methods Differentially expressed genes(DEGs)in bladder cancer were identified through differential analysis of RNA-seq data downloaded from The Cancer Genome Atlas(TCGA)database. Subsequently, the intersection of these DEGs with MRPs was obtained to screen out MRPs differentially expressed in bladder cancer. Through survival analysis, MRPs possessing both prognostic value and differential expression were identified, and used as the objects of subsequent research. The relative expressions of MRPs were verified using 33 bladder cancer samples from Zhongnan Hospital of Wuhan University. Bladder cancer cells(T24 and UM-UC-3)were transfected with small interfering RNA(siRNA)and plasmids to achieve gene knockdown and overexpression. Changes in the proliferative capacity of bladder cancer cells following knockdown of the genes identified in survival analysis and simultaneous overexpression of cyclin D1(CCND1)were analyzed with 3-(4, 5-dimethylthiazol-2-yl)-2, 5-diphenyltetrazolium bromide(MTT)assay and colony formation assay. The cell cycle status and reactive oxygen species(ROS)level were detected with flow cytometry. The efficiency of gene knockdown or overexpression, as well as changes in the expression of cell cycle-related proteins were verified with quantitative real-time polymerase chain reaction(qRT-PCR)and Western blotting. Results MRPL12 was screened out through bioinformatics and prognosis analysis, which was highly expressed in bladder cancer cells and correlated with poor prognosis. GSEA analysis suggested its association with oxidative phosphorylation, MYC and E2F pathways. When MRPL12 was knocked down, the proliferation of bladder cancer cells weakened and G1 phase arrest occurred. Western blotting showed that the expression of CCND1 and cyclin dependent kinase 4(CDK4)decreased after MRPL12 knockdown. In contrast, overexpression of CCND1 partially rescued the decreased proliferative capacity caused by MRPL12 knockdown and alleviated the G1 phase arrest of cells. Additionally, the ROS level in bladder cancer cells increased when MRPL12 was knocked down. Conclusion MRPL12 is highly expressed in bladder cancer cells and may affect cell proliferation through the cell cycle and mitochondrial function, showing potential application prospects.

Against the backdrop of the "New Medical Education" initiative by the Ministry of Education, higher medical education faces an urgent need to reconstruct its talent cultivation system. Taking the Laboratory Animal Science course at Shandong University of Traditional Chinese Medicine as an example, this paper systematically explores how to construct a teaching system featuring deep integration of scientific research and education, aiming to address the disconnection between theory and practice and the lack of innovative thinking among students in traditional teaching. The construction of this system is based on three pillars: first, the establishment of a high-level, interdisciplinary faculty team that strongly supports teaching innovation; second, reliance on the Laboratory Animal Center of Shandong University of Traditional Chinese Medicine and the Shandong Provincial Engineering Research Center for Prevention and Treatment of Major Brain Diseases with Traditional Chinese Medicine to provide the necessary facilities; third, a systematic restructuring of teaching content and modes through the "multidisciplinary, multi-format, and multilevel" integration approach. The reform has yielded remarkable results, particularly evident in the increase in students' scientific research and innovation capabilities: the proportion of student projects approved at the provincial level or above in undergraduate innovation training programs significantly increased from 11.1% before the reform to 41.6%. Furthermore, student teams have won gold and silver awards in national competitions such as the "National Undergraduate Innovation Forum for Basic Medical Sciences and Experimental Design" and the "National College Students' Medical Innovation Competition". Additionally, the teaching team's faculty members serving as chief editors and editorial board members of the national planning textbook Laboratory Animal Science published by People's Medical Publishing House mark the nationwide recognition of the course construction achievements. Practice has shown that this integrated system effectively transforms scientific research resources into educational advantages, providing an effective pathway for cultivating top-notch talents in traditional Chinese medicine with solid practical skills and advanced innovative capabilities. It also offers a replicable model for teaching reforms in peer institutions.

ObjectiveTo investigate the impact of melanoma-associated antigen D4 （MAGED4） on the malignant biological behavior of hepatocellular carcinoma （HCC）， providing experimental evidence for its evaluation as a potential therapeutic target in HCC. MethodsGenes positively correlated with MAGED4 expression in HCC were screened using the LinkedOmics database， followed by GO functional and KEGG pathway enrichment analyses. Endogenously low-expressing SMMC-7721 and Huh7 cells were selected， with normal hepatic LO2 cells serving as controls. Stable overexpression cell lines were established via lentiviral infection （MAGED4 overexpression group）， with RT-PCR and Western blot validating overexpression efficiency. The effects of MAGED4 overexpression on cell proliferation， cell cycle distribution， migration， and adhesion were systematically analyzed using CCK-8 assays， flow cytometry， scratch healing assays， Transwell migration assays， and cell adhesion assays. ResultsBioinformatics analysis indicated that MAGED4 co-expressed genes were significantly enriched in biological processes closely associated with tumor proliferation and metastasis， including cell-cell adhesion， extracellular matrix organization， and the PI3K-Akt signaling pathway. A stable MAGED4 overexpression cell model was successfully established. In vitro functional assays demonstrated that MAGED4-overexpressing SMMC-7721 and Huh7 cells exhibited a mesenchymal-like morphology， whereas LO2 cells maintained an epithelial-like morphology. Compared with the empty-virus control groups， the MAGED4-overexpressing groups showed significantly increased proliferative activity （48 h： t=3.887， 22.070， 8.866， all P<0.05； 72 h： t=3.231， 23.840， 9.848， all P<0.05； 96 h： t=5.123， 49.800， 5.909， P<0.05， P<0.01， P<0.05）， wound healing rates （12 h： F=40.90， 44.00， 200.50， all P<0.001； 24 h： F=112.00， 34.89， 249.20， all P<0.001）， and numbers of migrated cells （F=239.20， 59.79， 132.80， all P<0.001）， along with significantly decreased numbers of adherent cells （F=73.65， 85.91， 138.00， all P<0.001）， while no significant differences were observed in cell cycle phase distribution in all three cell lines. ConclusionMAGED4 enhances proliferation and migration while suppressing adhesion in both HCC and normal hepatocytes， however， induces mesenchymal-like morphological changes exclusively in HCC cells， suggesting that MAGED4 is capable of driving HCC progression and may serve as a potential therapeutic target for HCC.

Objective: Whether elevation in plasma levels of amyloid and tau protein biomarkers are better indicators of cognitive decline than higher baseline levels in patients with amnestic mild cognitive impairment (aMCI) and Alzheimer’s disease (AD) remains understudied. Methods: We included 67 participants with twice testing for AD-related plasma biomarkers via immunomagnetic reduction (IMR) assays (amyloid beta [Aβ]1-40, Aβ1-42, total tau [t-Tau], phosphorylated tau [p-Tau] 181, and alpha-synuclein [α-Syn]) and the Mini-Mental State Examination (MMSE) over a 1-year interval. We examined the correlation between biomarker levels (baseline vs. longitudinal change) and annual changes in the MMSE scores. Receiver operating characteristic curve analysis was conducted to compare the biomarkers. Results: After adjustment, faster cognitive decline was correlated with lower baseline levels of t-Tau (β=0.332, p=0.030) and p-Tau 181 (β=0.369, p=0.015) and rapid elevation of t-Tau (β=-0.330, p=0.030) and p-Tau 181 levels (β=-0.431, p=0.004). However, the levels (baseline and longitudinal changes) of Aβ1-40, Aβ1-42, and α-Syn were not correlated with cognitive decline. aMCI converters had lower baseline levels of p-Tau 181 (p=0.002) but larger annual changes (p=0.001) than aMCI non-converters. The change in p-Tau 181 levels showed better discriminatory capacity than the change in t-Tau levels in terms of identifying AD conversion in patients with aMCI, with an area under curve of 86.7% versus 72.2%. Conclusion We found changes in p-Tau 181 levels may be a suitable biomarker for identifying AD conversion.

ObjectiveThe proteome of biological evidence contains rich genetic information, namely single amino acid polymorphisms (SAPs) in protein sequences. However, due to the lack of efficient and convenient analysis tools, the application of SAP in public security still faces many challenges. This paper aims to meet the application requirements of SAP analysis for forensic biological evidence’s proteome data. MethodsThe software is divided into three modules. First, based on a built-in database of common non-synonymous single nucleotide polymorphisms (nsSNPs) and SAPs in East Asian populations, the software integrates and annotates newly identified exonic nsSNPs as SAPs, thereby constructing a customized SAP protein sequence database. It then utilizes a pre-installed search engine—either pFind or MaxQuant—to perform analysis and output SAP typing results, identifying both reference and variant types, along with their corresponding imputed nsSNPs. Finally, SAPTyper compares the proteome-based typing results with the individual’s exome-derived nsSNP profile and outputs the comparison report. ResultsSAPTyper accepts proteomic DDA mass spectrometry raw data (DDA acquisition mode) and exome sequencing results of nsSNPs as input and outputs the report of SAPs result. The pFind and Maxquant search engines were used to test the proteome data of 2 hair shafts of2 individuals, and both obtained SAP results. It was found that the results of the Maxquant search engine were slightly less than those of pFind. This result shows that SAPTyper can achieve SAP fingding function. Moreover, the pFind search engine was used to test the proteome data of 3 hair shafts from 1 European person and 1 African person in the literature. Among the sites fully matched by the literature method, sites detected by SAPTyper are also included; for semi-matching sites, that is, nsSNPs are heterozygous, both literature method and SAPTyper method had the risk of missing detection for one type of the allele. Comparing the analysis results of SAPTyper with the SAP test results reported in the literature, it was found that some imputed nsSNP sites identified by the literature method but not detected by SAPTyper had a MAF of less than 0.1% in East Asian populations, and therefore they were not included in the common nsSNP database of East Asian populations constructed by this software. Since the database construction of this software is based on the genetic variation information of East Asian populations, it is currently unable to effectively identify representative unique common variation sites in European or African populations, but it can still identify SAP sites shared by these populations and East Asian populations. ConclusionAn automated SAP analysis algorithm was developed for East Asian populations, and the software named SAPTyper was developed. This software provides a convenient and efficient analysis tool for the research and application of forensic proteomic SAP and has important application prospects in individual identification and phenotypic inference based on SAP.

Tuberculosis (TB) remains a major global public health threat. The World Health Organization (WHO) 2020–2024 global TB reports provide a comprehensive overview of the TB situation from 2019 to 2023. In 2023, TB re-emerged as the world's leading infectious killer, with an estimated 10.8 million new cases. While the growth in the incidence rate slowed, the number of deaths decreased to 1.25 million. The COVID-19 pandemic significantly disrupted TB control efforts in 2020–2021. As control measures are gradually restored, a positive trend in TB control is emerging. However, significant regional disparities in incidence persist, with eight high-burden countries, including India and China, accounting for over two-thirds of the global total. In 2023, global treatment coverage for drug-resistant TB (DR-TB) was 44.00% with a treatment success rate of 68.00%; yet, with 400 000 new drug-resistant cases, the control situation remains severe. China has achieved remarkable progress in TB control: new cases fell to 741 000 in 2023 (an incidence of 52 per 100 000); mortality decreased significantly; its share of the global DR-TB burden dropped from 14.00% to 7.30%; and the TB/HIV co-infection rate declined from 1.68% in 2019 to 0.66% in 2023, outperforming the global average. Globally, control measures continue to be optimized: treatment coverage increased from 70.00% in 2019 to 75.00% in 2023, the number of people receiving preventive therapy grew to 4.7 million, and rapid diagnostic coverage reached 48.00%. In China, the number of patients treated recovered to 565 000 in 2023, and rapid diagnostic coverage rose to 74.00%. Although technological innovations have enhanced the efficiency of prevention, screening, diagnosis, treatment, and management, achieving the 2030 End TB Strategy goals will require strengthening TB management, building primary healthcare capacity, and targeting interventions for high-risk populations, while balancing resource allocation with technological innovation to address the challenges of a heterogeneous global epidemic.